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Titlebook: Industrial Statistics; A Computer-Based App Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck Textbook 2023 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 18:30:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Industrial Statistics
副標(biāo)題A Computer-Based App
編輯Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck
視頻videohttp://file.papertrans.cn/465/464125/464125.mp4
概述Demonstrates how to incorporate Python into the industrial statistics curriculum.Includes over 40 case studies to facilitate experiential learning.An accompanying Python package is available for downl
叢書名稱Statistics for Industry, Technology, and Engineering
圖書封面Titlebook: Industrial Statistics; A Computer-Based App Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck Textbook 2023 The Editor(s) (if applicable) and The
描述This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others..The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises,
出版日期Textbook 2023
關(guān)鍵詞Industrial statistics; Industry 4; 0; Process control and tracking; Multivariate process control; Quality
版次1
doihttps://doi.org/10.1007/978-3-031-28482-3
isbn_softcover978-3-031-28484-7
isbn_ebook978-3-031-28482-3Series ISSN 2662-5555 Series E-ISSN 2662-5563
issn_series 2662-5555
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Ron S. Kenett,Shelemyahu Zacks,Peter Gedeckmages is the result of twenty years of teaching at Harvard‘s Department of Visual and Environmental Studies in the Carpenter Center for the Visual Arts, a department devoted to turning out students articulate in images much as a language department teaches reading and expressing one- self in words. It is a re978-1-4612-6716-4978-1-4612-0343-8
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Ron S. Kenett,Shelemyahu Zacks,Peter Gedeckmages is the result of twenty years of teaching at Harvard‘s Department of Visual and Environmental Studies in the Carpenter Center for the Visual Arts, a department devoted to turning out students articulate in images much as a language department teaches reading and expressing one- self in words. It is a re978-1-4612-6716-4978-1-4612-0343-8
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Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck [CMs]) are commonly used in agriculture and industry and around homes/gardens throughout the world. Small animals often encounter poisoning with these insecticides via malicious activity or accidental exposure, while livestock may ingest freshly sprayed crop or contaminated feed. Among other pestic
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Ron S. Kenett,Shelemyahu Zacks,Peter GedeckType B, Type C, and Type D) that may lead to toxemias. Toxins produced from blue-green algae are specifically toxic to the liver; microcystins cause severe hepatomegaly macroscopically and progressive centrolobular hepatocyte rounding, dissociation, and necrosis; and breakdown of the sinusoidal endo
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Ron S. Kenett,Shelemyahu Zacks,Peter Gedeckarning (DL) usage in many research, and this includes tropical forest carbon stocks. Therefore, this study aimed to classify the forest aboveground biomass by estimating crown projection area using object-based image analysis (OBIA) and to determine the accuracy assessment for estimating forest abov
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